Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Field strength prediction method and device, equipment and storage medium

A field strength prediction and prediction model technology, which is applied in the field of communication, can solve the problems of low field strength prediction accuracy and achieve the effects of high field strength prediction accuracy, high field strength prediction accuracy, and improved accuracy

Active Publication Date: 2020-06-23
ZTE CORP
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a field strength prediction method, device, equipment, and storage medium to solve the problem of low field strength prediction accuracy in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Field strength prediction method and device, equipment and storage medium
  • Field strength prediction method and device, equipment and storage medium
  • Field strength prediction method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] The embodiment of the present invention provides a field strength prediction method, such as figure 1 As shown, including the following specific steps:

[0054] Step S101: Obtain a reference scene similar to the target scene statistic feature in the complete data set;

[0055] The complete set of data consists of measured data of all scenarios. In a specific embodiment, if the average value of the distances between all measurement points of a certain cell and the base station is selected as the predefined statistical index, the complete set of data consists of measured data of 75 cells . That is, the average value of the distances between the actual measurement points of the 75 cells and the base station constitutes the complete data set. The target cell and the reference cell corresponding to the target scene and the reference scene together form 75 cells, that is, the target cell is one of the 75 cells.

[0056] Step S102: Perform model training based on partial parameters...

Embodiment 2

[0073] The embodiment of the present invention provides a field strength prediction device, such as image 3 Shown, including:

[0074] Obtaining module 301: used to obtain a reference scene similar to the target scene statistic feature in the complete data set;

[0075] Training module 302: used to perform model training based on partial parameters of the target scene and corresponding historical parameters in the reference scene to obtain a prediction model;

[0076] Prediction module 303: used to predict other parameters of the target scene using the prediction model.

[0077] In an alternative embodiment of the present invention, such as Figure 4 As shown, the acquisition module 301 includes:

[0078] Statistics module 401: used to calculate statistics of each scene in the data set;

[0079] Distance calculation module 402: used to calculate the distance between the statistics of the target scene and the statistics of the reference scene, where the reference scene is a scene other t...

Embodiment 3

[0099] In this embodiment, the average value of the distances between all measurement points of a certain cell and the base station is selected as the predefined statistical index. This statistical quantity can reflect the distance characteristics between the main coverage area of ​​the cell and the antenna, which can be used as a measure of cell similarity. Find the cell with the most similar distance to the main coverage area of ​​the target cell signal in order to improve the prediction accuracy of the model. The specific implementation steps are as follows:

[0100] The first step: the data set consists of the measured data of 75 cells. For each cell in the data set, the average distance between all sampling points and the antenna of the cell is calculated.

[0101] Step 2: Calculate the Euclidean distance between the average distances of the cells. The Euclidean distances of some cells are shown in Table 1. The horizontal and vertical 0 to 5 in Table 1 represent the cell numbe...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a field strength prediction method and device, equipment and a storage medium. The field strength prediction method comprises the steps of obtaining a reference scene with thestatistical characteristics similar to that of a target scene in a data full set; performing model training based on partial parameters of a target scene and corresponding historical parameters in thereference scene to obtain a prediction model; and predicting other parameters of the target scene by using the prediction model. The reference scene with the similar statistical characteristics is selected; model training is carried out based on partial parameters of the target scene and historical parameters of the reference scene; other parameters in the target scene are predicted based on theprediction model obtained by training; model training is carried out based on partial parameters of the target scene and historical parameters of the reference scene, and the prediction model is corrected, so that a better prediction model is obtained, the prediction model has higher field strength prediction precision, and the field strength prediction precision is improved.

Description

Technical field [0001] The present invention relates to the field of communications, and in particular to a field strength prediction method, device, equipment and storage medium. Background technique [0002] The problem of field strength prediction in the coverage area of ​​mobile communications is to use a typical radio wave propagation model to measure and estimate the field strength distribution and path propagation loss in the coverage area. The purpose is to make up for the shortcomings of the field strength measurement and save the use of the actual measurement. The large amount of time and expense consumed provide a scientific basis for the engineering design of mobile communication systems. The modeling step of the traditional model is to first define the variables and formulas for calculating the road loss, and then use the measured data under various terrains to modify the formula parameters. Classical field strength prediction models include the Bullington model, th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/318H04B17/391
CPCH04B17/318H04B17/3913H04B17/373
Inventor 裘瑞涛
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com